AI / Deep Learning applications course – limited spaces for niche – personalised education

 

AI / Deep Learning applications course/ mentoring program – limited spaces

I am pleased to announce a new course on AI Applications

The course combines elements of teaching, coaching and community. For this reason, the batch sizes are small and selective. I will be working with a small/selective group of people to actively transfer their career to AI through education and my network towards specific outcomes/goals.

Early bird discounts now for a limited time ..

In a nutshell

  • The course (spanning three months) covers concepts, theory and coding for AI (in Python ie. Tensorflow and Keras) and also deployment.
  • Career guidance and mentoring
  • As a part of the mentoring process, you outline your goals and we work toward them. The mentoring may extend beyond the course.
  • You thus get access to a community and lifetime access for the content.
  • Starting June 1 2018
  • Audience: For professionals who want to learn AI concepts, applications and coding for AI (Deep Learning) from an application perspective. The course targets developers and Architects who want to transition their career to Enterprise AI. The course correlates the new AI ideas with familiar concepts like ERP, Data warehousing etc and helps to make the transition easier.
  • Pre-requisites Some basic knowledge of Python needed (or any programming language)
  • Coding using Tensorflow and Keras
  • Goals: To rapidly transition your career to AI in a supporting/mentoring/self-paced community
  • Delivery format is via video and online sessions (once every two weeks)
  • You can choose a strategic (non-coding) option also
  • Please contact [email protected] for more details and Pricing

 

Course outline

Through the course, every participant should be able to develop a reusable codebase / library for solving problems using Tensorflow and Keras. This library then enables you to reuse the code in your applications.
The course comprises three milestones

Concepts milestone

In the Concepts milestone, we take a use case approach. We cover AI, IoT, Machine Learning, Platforms, Applications. We also discuss an overall methodology of applying AI techniques to  Enterprise and IoT problems. ,;’

Development milestone
In the development phase, we first cover the basics of development in Python (Tensorflow and Keras) for machine learning applications
We then cover three models (MLP, CNN and LSTM)
We also cover the theory of MLP, CNN and LSTM
Finally, we cover Python in more detail through development of a set of techniques for Deep learning applications
Deployment milestone
In this section, we discuss the deployment of Deep learning applications through Flask, Docker, Kubernetes and other real-world techniques

Testimonials for our courses

Jean Jacques Bernand – Paris – France

“Great course with many interactions, either group or one to one that helps in the learning. In addition, tailored curriculum to the need of each student and interaction with companies involved in this field makes it even more impactful. As for myself, it allowed me to go into topics of interests that help me in reshaping my career.”

Johnny Johnson, AT&T – USA

“This DSIOT course is a great way to get up-to-speed.  The tools and methodologies for managing devices, wrangling and fusing data, and being able to explain it are taking form fast; Ajit Jaokar is a good fit.  For me, his patience and vision keep this busy corporate family man coming back.”

Yongkang Gao, General Electric, UK.

“I especially thank Ajit for his help on my personal project of the course — recommending proper tools and introducing mentors to me, which significantly reduced my pain in the beginning stage.”

karthik padmanabhan Manager – Global Data Insight and Analytics (GDIA) – Ford Motor Pvt Ltd.

“I am delighted to provide this testimonial to Ajit Jaokar who has extended outstanding support and guidance as my mentor during the entire program on Data science for IoT. Ajit is a world renowned professional in the niche area of applying the Data science principles in creating IoT apps. Talking about the program, it has a lot of breadth and depth covering some of the cutting edge topics in the industry such as Sensor Fusion, Deep Learning oriented towards the Internet of things domain. The topics such as Statistics, Machine Learning, IoT Platforms, Big Data and more speak about the complexity of the program. This is the first of its kind program in the world to provide Data Science training especially on the IoT domain and I feel fortunate to be part of the batch comprising of participants from different countries and skill sets. Overall this journey has transformed me into a mature and confident professional in this new space and I am grateful to Ajit and his team. My wish is to see this program accepted as a gold standard in the industry in the coming years”.

 

Peter Marriott – UK – www.catalystcomputing.co.uk

Attending the Data Science for IoT course has really helped me in demystifying the tools and practices behind machine learning and has allowed me to move from an awareness of machine learning to practical application.

 

Yair Meidan Israel – https://il.linkedin.com/in/yairmeidandatamining

“As a PhD student with an academic and practical experience in analytics, the DSIOT course is the perfect means by which I extend my expertise to the domain of IoT. It gradually elaborates on IoT concepts in general, and IoT analytics in particular. I recommend it to any person interested in entering that field. Thanks Ajit!”

 

Parinya Hiranpanthaporn, Data Architect and Advanced Analytics professional Bangkok

“Good content, Good instructor and Good networking. This course totally answers what I should know about Data Science for Internet of Things.”

 

Sibanjan Das – Bangalore

Ajit helped me to focus and set goals for my career that is extremely valuable. He stands by my side for every initiative I take and helps me to navigate me through every difficult situation I face. A true leader, a technology specialist, good friend and a great mentor. Cheers!!!

 

Manuel Betancurt – Mobile developer / Electronic Engineer. – Australia

I have had the opportunity to partake in the Data Science for the IoT course taught by Ajit Jaokar. He have crafted a collection of instructional videos, code samples, projects and social interaction with him and other students of this deep knowledge.

Ajit gives an awesome introduction and description of all the tools of the trade for a data scientist getting into the IoT. Even when I really come from a software engineering background, I have found the course totally accessible and useful. The support given by Ajit to make my IoT product a data science driven reality has been invaluable. Providing direction on how to achieve my data analysis goals and even helping me to publish the results of my investigation.

The knowledge demonstrated on this course in a mathematical and computer science level has been truly exciting and encouraging. This course was the key for me to connect the little data to the big data.

 

Barend Botha – London and South Africa – http://www.sevensymbols.co.uk

This is a great course for anyone wanting to move from a development background into Data Science with specific focus on IoT. The course is unique in that it allows you to learn the theory, skills and technologies required while working on solving a specific problem of your choice, one that plays to your past strengths and interests. From my experience care is taken to give participants one to one guidance in their projects, and there is also within the course the opportunity to network and share interesting content and ideas in this growing field. Highly recommended!

- Barend Botha

 

Jamie Weisbrod – San Diego – https://www.linkedin.com/in/jamie-weisbrod-3630053

Currently there is a plethora of online courses and degrees available in data science/big data. What attracted me to joining the futuretext class “Data Science for ioT” is Ajit Jaokar. My main concern in choosing a course was how to leverage skills that I already possessed as a computer engineer. Ajit took the time to discuss how I could personalize the course for my interests.

I am currently in the midst of the basic coursework but already I have been able to network with students all over the world who are working on interesting projects. Ajit inspires a lot of people at all ages as he is also teaching young people Data science using space exploration.

 

 Robert Westwood – UK – Catalyst computing

“Ajit brings to the course years of experience in the industry and a great breadth of knowledge of the companies, people and research in the Data Science/IoT arena.”

Companies / Participants who have been part of our courses

  • Technology: GE, HPE, Oracle, TCS, Wipro, HCL, HPE, Dell, Honeywell
  • Banking and Fintech : Goldman Sachs, ABN Amro, Nordea, Santander, BNP Paribas
  • Telecoms : Nokia, AT&T, Ericsson
  • Consulting : McKinsey, PA consulting
  • Automotive : Ford, Daimler, Jaguar
  • Retail : Coca Cola, Target
  • Airlines and Aircrafts : Boeing, Airbus

(Note : Above list includes participants from companies and also companies who have sponsored their personnel)

Participant Countries

We are pleased to have participants from all over the world – leading to a vibrant and a diverse learning ecosystem. A majority of our participants are from UK USA and India. But we also have participants from the following

  • North America: USA, Canada
  • Europe:  UK and Eastern Europe:  UK, Germany, France, Belgium, Poland, Russia, Norway, Italy, Finland, Ukraine, Austria, Ireland, Spain, Estonia, Sweden, Switzerland, Russia, Holland
  • Asia:  India, Japan, Thailand, Vietnam, Singapore
  • Middle East: UAE, Egypt, Iran
  • South America: Mexico, Brazil, Colombia, Nicaragua
  • Africa: South Africa, Zimbabwe
  • Australia and NZ: Australia

 

Please contact [email protected] for more details

 

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